def draw_convex_hull(a, original):
ret, b = cv2.threshold(a, 255, 255, cv2.THRESH_BINARY)
contornos, jerarquia = cv2.findContours(a,
cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
mayores = obtener_mayores_contornos(contornos, 4)
puntos = [];
for n, center, radius in mayores:
cnt = contornos[n]
centro = calcular_centroide(cnt)
dibujar_marcador(original, centro, (0, 0, 255))
if radius < 30:
continue
#hull = cv2.convexHull(cnt)
#foo = cv2.convexHull(cnt, returnPoints=False)
#cv2.drawContours(original, contornos, n, (0, 35, 245))
#if len(cnt) > 3 and len(foo) > 2:
# defectos = cv2.convexityDefects(cnt, foo)
# if defectos is not None:
# defectos = defectos.reshape(-1, 4)
# puntos = cnt.reshape(-1, 2)
# for d in defectos:
# if d[3] > 20:
# cv2.circle(original, tuple(puntos[d[0]]), 5, (255, 255, 0), 2)
# cv2.circle(original, tuple(puntos[d[1]]), 5, (255, 255, 0), 2)
# cv2.circle(original, tuple(puntos[d[2]]), 5, (0, 0, 255), 2)
#lista = numpy.reshape(hull, (1, -1, 2))
#cv2.polylines(original, lista, True, (0, 255, 0), 3)
box = cv2.fitEllipse(cnt)
cv2.ellipse(original, box, (255,255,0), 4)
center = tuple(map(int, center))
dibujar_marcador(original, center, (0, 255, 0))
radius = int(radius)
cv2.circle(original, center, radius, (255, 0, 0), 3)
# Valores a devolver:
# cantidad de defectos de convexion
# Coordenadas del centro del circulo
# inclinacion de la elipse
# radio del centro del circulo
puntos.append(Event(center, radius, box[2]))
eventos = etiquetar_eventos(original, puntos)
return eventos
print gray.shape
print gray
ret, b = cv2.threshold(gray, 20, 255, cv2.THRESH_BINARY)
cv2.imshow('Test', b)
contornos, jerarquia = cv2.findContours(b,
cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
for cnt in contornos:
hull = cv2.convexHull(cnt)
lista = numpy.reshape(hull, (1, -1, 2))
centro = calcular_centroide(hull)
dibujar_marcador(a, centro, (255, 255, 0))
centro = calcular_centroide(cnt)
dibujar_marcador(a, centro, (20, 40, 255))
cv2.polylines(a, lista, True, (0, 255, 0), 3)
center, radius = cv2.minEnclosingCircle(cnt)
center = tuple(map(int, center))
radius = int(radius)
cv2.circle(a, center, radius, (255, 0, 0), 3)
cv2.circle(a, center, 5, (255, 0, 0), 3)
cv2.imshow('Original', a)